Analysis of Temperature Stability and Accuracy on the Design of Thermometer Calibrator Based on Fuzzy Logic And On/Off Control

  • Yunik Pujiastuti Department of Medical Electronics Technology, Poltekkes Kemenkes Surabaya
  • Andjar Pudji Department of Medical Electronics Technology, Poltekkes Kemenkes Surabaya
  • Singgih Yudha Setiawan Department of Medical Electronics Technology, Poltekkes Kemenkes Surabaya
  • Farid Amrinsani Department of Medical Electronics Technology, Poltekkes Kemenkes Surabaya
  • Khongdet Phasinam Pibulsongkram Rajabhat University
Keywords: Calibration, Thermometer, Calibrator, Fuzzy.


A thermometer is a medical device used to measure body temperature. To maintain the accuracy of the thermometer measurement results, periodic calibration is required. Calibration is an activity to determine the conventional correctness of the indicator values of measuring instruments and measuring materials by comparing them with measurement standards that can be traced to national and international standards for units of measure and/or international and certified reference materials. Based on the results of the identification of chronological problems that have been observed, a body thermometer that measures body temperature is needed so and a calibrator is needed to maintain the accuracy of the thermometer. The purpose of this study was to analyze the Temperature Stability and Accuracy of the Body Thermometer Calibrator Based on on-Off Control and Fuzzy Logic Control. The contribution of this research to this tool will use the development of a fuzzy logic control method to produce temperature stability in the Body Thermometer Calibrator (Digital). The method used in this study used fuzzy control and on-off control. The results of this study from the suitability test obtained a maximum error of 0.2% in the fuzzy control and 0.6% in the On-Off control.  The average rise time difference for the two controls was 13.53 Seconds. The average settling time difference is 130.46 seconds. The results of this study can be concluded that the Fuzzy System is better than the On / Off system so the Fuzzy system is more suitable for thermometer calibration media.


Download data is not yet available.


[1] S. Latifah, K. Koderi, I. Fiteriani, Khoiruddin, and R. Diani, Development of Smart Physics Card as Physics Learning Media on Temperature and Heat Material, J. Phys. Conf. Ser., vol. 1467, no. 1, 2020, doi: 10.1088/1742-6596/1467/1/012033.
[2] M. Z. Rabbani, M. Amir, M. Malik, M. Mufti, M. Bin Pervez, and S. Iftekhar, Tympanic temperature comparison with oral mercury thermometer readings in an OPD setting, J. Coll. Physicians Surg. Pakistan, vol. 20, no. 1, pp. 33–36, 2010.
[3] A. L. Chue et al., Comparability of tympanic and oral mercury thermometers at high ambient temperatures, BMC Res. Notes, vol. 5, 2012, doi: 10.1186/1756-0500-5-356.
[4] Laily Nurrohmah, Dwi Herry Andayani, and Andjar Pudji, Development of Incubator Analyzer Using Personal Computer Equiped With Measurement Certificate, J. Electron. Electromed. Eng. Med. Informatics, vol. 2, no. 2, pp. 74–79, 2020, doi: 10.35882/jeeemi.v2i2.6.
[5] G. T. Sen and M. Yuksekkaya, Desing and Test of an Incubator Analyzer, ISMSIT 2018 - 2nd Int. Symp. Multidiscip. Stud. Innov. Technol. Proc., pp. 2–6, 2018, doi: 10.1109/ISMSIT.2018.8567049.
[6] Syarifatul Ainiyah, D. H. Andayani, A. Pundji, and M. Shaib, Development of Incubator Analyzer Based on Computer with Temperature And Humidity Parameters, J. Electron. Electromed. Eng. Med. Informatics, vol. 2, no. 2, pp. 48–57, 2020, doi: 10.35882/jeeemi.v2i2.3.
[7] S. Inam, M. F. Qureshi, F. Amin, M. Akmal, and M. Z. Rehman, Android based internet accessible infant incubator, 2019 8th Int. Conf. Inf. Commun. Technol. ICICT 2019, pp. 25–29, 2019, doi: 10.1109/ICICT47744.2019.9001985.
[8] S. S. Altayyai, M. O. M. Ali, and H. M. Hussein, The accuracy of temperature monitoring of the incubator for newborns, IFMBE Proc., vol. 57, pp. 1052–1054, 2016, doi: 10.1007/978-3-319-32703-7_209.
[9] V. N. Azkiyak, S. Syaifudin, and D. Titisari, Incubator Analyzer Using Bluetooth Android Display (Humidity & Air Flow), Indones. J. Electron. Electromed. Eng. Med. informatics, vol. 1, no. 2, pp. 71–77, 2020, doi: 10.35882/ijeeemi.v1i2.5.
[10] N. Rahman Nadi and M. Mohaiminul Islam, An Android Application Based Temperature andHumidity Monitoring and Controlling System forChild Incubators, Int. J. Sci. Eng. Res., vol. 9, no. 1, 2018, [Online]. Available:
[11] L. Elton, Thermometer calibration, Phys. Today, vol. 35, no. 5, p. 130, 1982, doi: 10.1063/1.2915075.
[12] A. Ramadhani, E. D. Setioningsih, and S. Syaifuddin, Design Dryblock In Digital Thermometer Calibrator Based on Arduino, Indones. J. Electron. Electromed. Eng. Med. informatics, vol. 2, no. 1, pp. 21–25, 2020, doi: 10.35882/ijeeemi.v2i1.4.
[13] T. Barry, G. Fuller, K. Hayatleh, and J. Lidgey, Self-calibrating infrared thermometer for low-temperature measurement, IEEE Trans. Instrum. Meas., vol. 60, no. 6, pp. 2047–2052, 2011, doi: 10.1109/TIM.2011.2113123.
[14] M. Elnour and W. I. M. Taha, PID and fuzzy logic in temperature control system, Proc. - 2013 Int. Conf. Comput. Electr. Electron. Eng. ’Research Makes a Differ. ICCEEE 2013, pp. 172–177, 2013, doi: 10.1109/ICCEEE.2013.6633927.
[15] A. Delgado, Sensor Design to Measure the Ambient Temperature with Arduino and Raspberry Pi, Int. J. Emerg. Trends Eng. Res., vol. 8, no. 7, pp. 3840–3843, 2020, doi: 10.30534/ijeter/2020/150872020.
[16] A. N. Permana, I. M. S. Wibawa, and I. K. Putra, DS18B20 sensor calibration compared with fluke hart scientific standard sensor, Int. J. Phys. Math., vol. 4, no. 1, pp. 1–7, 2021, doi: 10.31295/ijpm.v4n1.1225.
[17] R. A. Koestoer, Y. A. Saleh, I. Roihan, and Harinaldi, A simple method for calibration of temperature sensor DS18B20 waterproof in oil bath based on Arduino data acquisition system, AIP Conf. Proc., vol. 2062, no. June, 2019, doi: 10.1063/1.5086553.
[18] D. Matsunaga, Y. Tanaka, M. Seyama, and K. Nagashima, Non-invasive and wearable thermometer for continuous monitoring of core body temperature under various convective conditions, Proc. Annu. Int. Conf. IEEE Eng. Med. Biol. Soc. EMBS, vol. 2020-July, pp. 4377–4380, 2020, doi: 10.1109/EMBC44109.2020.9176403.
[19] D. Kurniawan and A. Witanti, Prototype of Control and Monitor System with Fuzzy Logic Method for Smart Greenhouse, Indones. J. Inf. Syst., vol. 3, no. 2, pp. 116–127, 2021, doi: 10.24002/ijis.v3i2.4067.
[20] L.T. Hebei, Thermoelectric Cooler TEC1-12706, L.T. Hebei, pp. 2–4, 2013, [Online]. Available:
[21] I. A, O. S.O, A. A.E, and O. C.D, Temperature Control System Using Fuzzy Logic Technique, Int. J. Adv. Res. Artif. Intell., vol. 1, no. 3, pp. 27–31, 2012, doi: 10.14569/ijarai.2012.010305.
[22] N. D. Phu, N. N. Hung, A. Ahmadian, and N. Senu, A New Fuzzy PID Control System Based on Fuzzy PID Controller and Fuzzy Control Process, Int. J. Fuzzy Syst., vol. 22, no. 7, pp. 2163–2187, 2020, doi: 10.1007/s40815-020-00904-y.
[23] W. Xing, L. T. Ke, and H. P. Pan, Resistance stove temperature control system based on fuzzy self-turning PID, 2007 IEEE Int. Conf. Control Autom. ICCA, vol. 00, pp. 1123–1125, 2007, doi: 10.1109/ICCA.2007.4376535.
[24] S. Kuswadi, Kendali cerdas : teori dan aplikasi praktisnya, 2015.
How to Cite
Y. Pujiastuti, A. Pudji, S. Yudha Setiawan, F. Amrinsani, and K. Phasinam, “ Analysis of Temperature Stability and Accuracy on the Design of Thermometer Calibrator Based on Fuzzy Logic And On/Off Control”,, vol. 4, no. 3, pp. 144-153, Jul. 2022.
Research Paper